Exam Databricks-Machine-Learning-Associate Topic 3 Question 19 Discussion

Actual exam question for Databricks's Databricks-Machine-Learning-Associate exam
Question #: 19
Topic #: 3
Which of the following statements describes a Spark ML estimator?

Suggested Answer: D Vote an answer

In the context of Spark MLlib, an estimator refers to an algorithm which can be "fit" on a DataFrame to produce a model (referred to as a Transformer), which can then be used to transform one DataFrame into another, typically adding predictions or model scores. This is a fundamental concept in machine learning pipelines in Spark, where the workflow includes fitting estimators to data to produce transformers.
Reference
Spark MLlib Documentation: https://spark.apache.org/docs/latest/ml-pipeline.html#estimators

by Pag at Mar 30, 2026, 05:13 AM

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